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- Title
Robust MIMO‑STBC Decoding Technique Using Kurtosis Based Water Cycle Algorithm.
- Authors
Ghazi, Zahraa A.; Abdalla, Kasim K.
- Abstract
Multiple-input multiple-output (MIMO) systems are used in most modern wireless communication systems, including WiMAX, DVB-NGH, WiFi, HSPA+, LTE, and 4G. MIMO systems with space time coding are a potential technique for increasing data rates and improving wireless communications reliability.This work proposed a new technology for decoding Multiple-Input Multiple-Output Space–Time Block Code (MIMO-STBC) by using blind source separation (BSS), to enhance the BER performance for MIMO STBC channel estimator by using semi-blind independent component analysis (ICA) method, The kurtosis-based source extraction technique is achieved by using real imaginary decomposition (R-Im) of maximum ratio combiner (MRC), Finally, by applying the water cycle method in optimization, we were able to increase the work speed of channel estimation using the ICA technique. The MATLAB software was used to model the system's performance. The simulation results demonstrate that the proposed channel estimation technique is feasible and effective, with only a small difference in performance between the estimated and known channel parameters, such that the proposed algorithm using WCA-kurtosis is better than the performance of the LS algorithm for transmit and receive antennas 2×1, 2×2, 4×2, and 4×4 by 1.6, 1.5, 1.2, and 2.2 dB, respectively, at the frame length of the 1024.
- Subjects
SPACE-time codes; HYDROLOGIC cycle; WIRELESS communications; SPACE-time block codes; INDEPENDENT component analysis; BLIND source separation; KURTOSIS
- Publication
International Journal of Intelligent Engineering & Systems, 2021, Vol 14, Issue 6, p344
- ISSN
2185-310X
- Publication type
Article
- DOI
10.22266/ijies2021.1231.31